A pipeline should add summaries of support tickets from a model. What is this?
Why B is the answer
AI data enrichment
Adding a model's output, such as a summary, to data as it moves is AI data enrichment.
In detail
- Adding model output to data is AI data enrichment.
- Check quality on samples.
Use case
An illustrative scenario, not a real incident.
A pipeline sends each ticket to a model, and it stores a short summary beside it.
See it in different ways
mindmap
root((Processing))
Dataflow
Apache Beam
Dataproc
Existing Spark
Data Fusion
Visual, code free
Dataform
SQL in BigQuery
Managed Airflow
DAG orchestrationflowchart LR S0["Ticket"] --> S1["Model summary"] --> S2["Enriched table"]
Key point: AI can enrich data.
Why the other options are wrong
- A. A BigQuery reservation
- That buys capacity.
- C. Data sovereignty
- That is about data location.
- D. A failover
- That is about availability.